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View this CV online with links at C:/Repositories/cv

Contact

Language Skills

R
Javascript (d3.js)
C++
Python
Bash
SQL
AWK

Disclaimer

Made with the R package pagedown.

The source code is available on github.com/nstrayer/cv.

Last updated on 2023-03-05.

Main

Stefan Vermeent

I am a PhD Candidate at Utrecht University (developmental psychology) focused on how experiencing early-life adversity shapes cognitive abilities. I enjoy developing workflows and (R) functionality to help implement the best open science practices.

Education

PhD Candidate, Developmental Psychology

Utrecht University

The Netherlands

Current - 2021

  • Focused on investigating cognitive abilities in harsh and unpredictable environments

Research MSc. Social and Health Psychology

Utrecht University

The Netherlands

2018 - 2016

  • Cum Laude
  • Thesis: “Beyond a reliance on null-results: Disentangling conscious and unconscious influences on reward pursuit” (Grade 8.5)

BSc. Psychology

Utrecht University

The Netherlands

2016 - 2013

  • With Honours
  • Thesis: “Mindful disidentification reduces salivation in response to food: A grounded cognition framework” (Grade 8.5)

Research Experience

PhD Candidate, Developmental Psychology

Utrecht University

The Netherlands

Current - 2021

  • Willem Frankenhuis, Jean-Louis van Gelder, & Ethan Young

Graduate Research Assistant

Utrecht University

The Netherlands

2018 - 2016

  • Ruud Custers

Undergraduate research internship

Utrecht University

The Netherlands

2015 - 2014

  • Mike Keesman

Industry Experience

Prior to starting my PhD, I worked at Philips as a junior researcher, where I conducted psychometric research and calculated normed scores for IntelliSpace Cognition1

Junior Researcher, Digital Cognitive Dx venture at Philips

Philips, Eindhoven

The Netherlands

2020 - 2018

  • Psychometric research relating to the IntelliSpace Cognition (ISC) digital test battery




Publications

Vermeent, S., Young, E.S., DeJoseph, M.L., Schubert, A.L., & Frankenhuis, W.E. (Under Stage 1 RR review). Cognitive deficits and enhancements in youth from adverse conditions: An integrative assessment using Drift Diffusion Modeling in the ABCD study.

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2023

Vermeent, S., Young, E.S., van Gelder, J.L., * Frankenhuis, W.E. (in preparation). Attention styles in harsh and unpredictable environments. An investigation using the Drift Diffusion Model.

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2023

Vermeent, S., Spaltman, M., van Elswijk, G., Miller, J.B., & Schmand, B.A., (2021). Philips IntelliSpace Cognition digital test battery: Equivalence and measurement invariance compared to traditional analog test versions. The Clinical Neuropsychologist, 36(8), 2278-2299.

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2021

  • READ MORE

Vermeent, S., Dotsch, R., Schmand, B., Klaming, L., Miller, J.B., & van Elswijk, G. (2020). Evidence of validity for a newly developed digital cognitive test battery. Frontiers in Psychology: Neuropsychology, 1-11.

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2020

  • READ MORE

Keesman, M., Papies, E.K., Vermeent, S., Aarts, H., & Häfner, M. (2016). Consumption simulations induce salivation to food cues. PLoS ONE, 11, e0165449.

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2016

  • READ MORE

Talks

Posters

Teaching Experience

Javascript for Shiny Users

RStudio::conf 2020

N/A

2020

  • Served as TA for two day workshop on how to leverage Javascript in Shiny applications
  • Lectured on using R2D3 package to build interactive visualizations.2

Data Visualization Best Practices

DataCamp

N/A

2019 - 2019

  • Designed from bottom up course to teach best practices for scientific visualizations.
  • Uses R and ggplot2.
  • In top 10% on platform by popularity.

Improving your visualization in Python

DataCamp

N/A

2019 - 2019

  • Designed from bottom up course to teach advanced methods for enhancing visualization.
  • Uses python, matplotlib, and seaborn.

Advanced Statistical Learning and Inference

Vanderbilt Biostatistics Department

Nashville, TN

2018 - 2017

  • TA and lectured
  • Topics covered from penalized regression to boosted trees and neural networks
  • Highest level course offered in department

Advanced Statistical Computing

Vanderbilt Biostatistics Department

Nashville, TN

2018 - 2018

  • TA and lectured
  • Covered modern statistical computing algorithms
  • 4th year PhD level class

Statistical Computing in R

Vanderbilt Biostatistics Department

Nashville, TN

2017 - 2017

  • TA and lectured
  • Covered introduction to R language for statistics applications
  • Graduate level class

Reviews

Child Development

N/A

N/A

2022

  • Editor: Dima Amso, 2 revisions